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Blind source separation: advances in theory, algorithms and applications

Blind Source Separation intends to report the new results of the efforts on the study of Blind Source Separation (BSS). The book collects novel research ideas and some training in BSS, independent component analysis (ICA), artificial intelligence and signal processing applications. Furthermore, the...

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Detalles Bibliográficos
Autores principales: Naik, Ganesh, Wang, Wenwu
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-55016-4
http://cds.cern.ch/record/1707492
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author Naik, Ganesh
Wang, Wenwu
author_facet Naik, Ganesh
Wang, Wenwu
author_sort Naik, Ganesh
collection CERN
description Blind Source Separation intends to report the new results of the efforts on the study of Blind Source Separation (BSS). The book collects novel research ideas and some training in BSS, independent component analysis (ICA), artificial intelligence and signal processing applications. Furthermore, the research results previously scattered in many journals and conferences worldwide are methodically edited and presented in a unified form. The book is likely to be of interest to university researchers, R&D engineers and graduate students in computer science and electronics who wish to learn the core principles, methods, algorithms, and applications of BSS. Dr. Ganesh R. Naik works at University of Technology, Sydney, Australia; Dr. Wenwu Wang works at University of Surrey, UK.
id cern-1707492
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2014
publisher Springer
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spelling cern-17074922021-04-21T20:58:46Zdoi:10.1007/978-3-642-55016-4http://cds.cern.ch/record/1707492engNaik, GaneshWang, WenwuBlind source separation: advances in theory, algorithms and applicationsEngineeringBlind Source Separation intends to report the new results of the efforts on the study of Blind Source Separation (BSS). The book collects novel research ideas and some training in BSS, independent component analysis (ICA), artificial intelligence and signal processing applications. Furthermore, the research results previously scattered in many journals and conferences worldwide are methodically edited and presented in a unified form. The book is likely to be of interest to university researchers, R&D engineers and graduate students in computer science and electronics who wish to learn the core principles, methods, algorithms, and applications of BSS. Dr. Ganesh R. Naik works at University of Technology, Sydney, Australia; Dr. Wenwu Wang works at University of Surrey, UK.Springeroai:cds.cern.ch:17074922014
spellingShingle Engineering
Naik, Ganesh
Wang, Wenwu
Blind source separation: advances in theory, algorithms and applications
title Blind source separation: advances in theory, algorithms and applications
title_full Blind source separation: advances in theory, algorithms and applications
title_fullStr Blind source separation: advances in theory, algorithms and applications
title_full_unstemmed Blind source separation: advances in theory, algorithms and applications
title_short Blind source separation: advances in theory, algorithms and applications
title_sort blind source separation: advances in theory, algorithms and applications
topic Engineering
url https://dx.doi.org/10.1007/978-3-642-55016-4
http://cds.cern.ch/record/1707492
work_keys_str_mv AT naikganesh blindsourceseparationadvancesintheoryalgorithmsandapplications
AT wangwenwu blindsourceseparationadvancesintheoryalgorithmsandapplications